Alternatives and similar repositories for population-stability-index:

Users that are interested in population-stability-index are comparing it to the libraries listed below

• jstephenj14 / Monotonic-WOE-Binning-Algorithm
  Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard …
  ☆117Updated 2 years ago
• Sundar0989 / WOE-and-IV
  ☆137Updated 6 years ago
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated last year
• psarka / uplift
  ☆34Updated 6 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆223Updated last year
• DenisVorotyntsev / CategoricalEncodingBenchmark
  Benchmarking different approaches for categorical encoding for tabular data
  ☆172Updated 2 years ago
• manifoldai / mf-eng-public
  ☆51Updated 6 years ago
• jingtt / varclushi
  A Python package for variable clustering
  ☆48Updated 4 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆320Updated last year
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 3 years ago
• boredbird / woe
  Tools for WoE Transformation mostly used in ScoreCard Model for credit rating
  ☆256Updated 5 years ago
• Densur / PyWoE
  ☆59Updated 5 years ago
• h2oai / pystacknet
  ☆286Updated 2 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆74Updated last year
• KirillTushin / target_encoding
  This package gives you the opportunity to use a Target mean Encoding.
  ☆15Updated 3 years ago
• jrzaurin / LightGBM-with-Focal-Loss
  An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems
  ☆247Updated 5 years ago
• pourya-ir / Medium
  ☆49Updated 5 years ago
• chasedehan / BoostARoota
  A fast xgboost feature selection algorithm
  ☆219Updated 3 years ago
• alteryx / Automated-Manual-Comparison
  Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
  ☆327Updated 4 years ago
• wayfair / pylift
  Uplift modeling package.
  ☆371Updated 2 years ago
• lmassaron / kaggledays-2019-gbdt
  Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop
  ☆92Updated last year
• ing-bank / skorecard
  scikit-learn compatible tools for building credit risk acceptance models
  ☆93Updated 5 months ago
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆343Updated last year
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 6 years ago
• limexp / xgbfir
  XGBoost Feature Interactions Reshaped
  ☆426Updated 7 years ago
• MaxHalford / kaggle-recruit-restaurant
  Kaggle 8th place solution
  ☆106Updated last year
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• alteryx / predict-loan-repayment
  Predict whether a loan will be repaid using automated feature engineering.
  ☆63Updated last year